Additional information

Data fabric is an architecture concerned with creating a data vision for the enterprise and allows the delivery effort to be quantified. This consists of combined data services by providing consistent capabilities across a choice of endpoints enabling on premise and multiple cloud environment to accelerate digital transformation. Handling control over data residency from anywhere is enrolled as preferred technology architecture in data fabric.

Global Data Fabric Market Segments Size & Growth:

Global data fabric market is accounted for $0.65 million in 2017 and estimated to grow at a CAGR of 26.8% during the forecast period of 2019-2025 to reach $4.37 billion by 2025. The major factors propelling the growth of data fabric market are massive growth in industry verticals based on structured and unstructured data, rapid advancements in data management, proper Implementation of data fabric across various end users, the high requirement for real time running analytics, occurring acquirement for accessibility and business agility and integrating business data volume. However, a breakdown in legacy systems, lack of awareness of data fabric, insufficient skilled expertise and low range of investments in emerging technologies are the factors that would restrain the growth of the market. Rising concerns among customers, adoption of software based technologies, increasing deployment of cloud service, inclination towards returns on investments and advancements of in memory computing are expected to boost demand for data fabric market.

Global Data Fabric Market Segments Share:

By the component, the services segment is playing a dominant role as they reduce the efforts, summarise large data sets, helps organisations to save money & time and enabling employees to focus more on tasks. Based on deployment mode, data fabric market is classified into the cloud, and on premises. By organisation size, data fabric market is segmented into small and medium sized enterprises, large enterprises. From the segment of type, in memory data fabrics type represents the tremendous growth over the forecast period as this provides the most prior advantage that independent usage of in memory computing components with the integration of memory. Based on applications, fraud detection and security management is anticipated to grow over thee forecast period due to increasing immediate triggering actions, enables easy decision making and making easy of machine learning. In the end user segment, BFSI is holding the major share owing to accessing a large volume of data, enhancing customer experience and analysing the decision making process.

By Geography, North America accounted for the major share in the global data fabric market as the region is having a large presence of data fabric vendors, progressive innovation and rising investments in R&D. The Asia Pacific is expected to witness tremendous growth over the forecast period based on factors includes emerging major opportunities on investments, expanding digitalisation and presence of motivated government policies.

Global Data Fabric Market Segments Trends:

In September 2018, Oracle Corporation introduced a new Oracle retail assortment to engage the customers at the pace of fast fashion with new assortment and item planning cloud service with advanced analytics.

In October 2018, IBM Corporation announced a new cloud based community platform for cyber security applications on open federated technologies to analyse security data across previously unconnected tools.

Global Data Fabric Research Report:

An executive summary condensing the whole report such that essential authority can rapidly twist up doubtlessly acquainted with brief overview and conclusion.

Regional and global diversity is analysed with the major countries and the unions. Scrutinising the revenue generation on Year-On-Year

Identifying DROC in the current market and their impact in altering the market dynamics.

Competitive landscape analysis to identify the mergers and acquisitions which will have a comparative financial analysis with major competitors.

Expertise investment opportunities by an analyst to the individual and organisation to have a better foothold in the market.

The major key data fabric market leaders are:

Teradata Corporation

Oracle Corporation

Global IDS, Inc.

IBM Corporation

SAP SE

Along with these companies, there were many other companies considered/cited in the report while analysing the global data fabric market size. These companies hold substantial share is owning to the nature of the industry whereas rest of the market shares are marginal chunks to regional and local level manufacturers. Other players have considerable presence owing to its robust brand image, geographical reach and strong customer base.

CHAPTER 1 INTRODUCTION

1.1. Market Definition

1.2. Executive Summary

1.3. The Scope of the Study

CHAPTER 2 RESEARCH METHODOLOGY

2.1. Secondary Research

2.2. Primary Research

2.3. Analytic Tools and Model

2.4. Economic Indicator

2.4.1 Base Year, Base Currency, Forecasting Period

2.5. Expert Validation

2.6. Study Timeline

CHAPTER 3 MARKET ANALYSIS

3.1. Industry Value Chain Analysis

3.2. Porter’s Five Force Analysis

3.2.1. Bargaining Power of Buyers

3.2.2. Bargaining Power of Suppliers

3.2.3. Threats of Substitutes

3.2.4. Threats of New Entrants

3.2.5. Degree of Competition

3.3. PESTLE Analysis

3.3.1. Political

3.3.2. Economical

3.3.3. Social

3.3.4. Technological

3.3.5. Legal

3.3.6. Environmental

3.4. SWOT Analysis

3.4.1. Strengths

3.4.2. Weakness

3.4.3. Opportunities

3.4.4. Threats

3.5. Y-O-Y Analysis

CHAPTER 4 MARKET DYNAMICS

4.1. Market Drivers

4.1.1. Massive growth in industry verticals based on structured and unstructured data

4.1.2. Rapid advancements in data management

4.1.3. Proper Implementation of data fabric across various end users

4.1.4. The high requirement for real time running analytics

4.1.5. Occurring acquirement for accessibility and business agility

4.1.6. Integrating business data volume

4.2. Market Restraints & Challenges

4.2.1. The breakdown in legacy systems

4.2.2. Lack of awareness of data fabric

4.2.3. Insufficient skilled expertise

4.2.4. The low range of investments in emerging technologies

4.3. Market Opportunities

4.3.1. Rising concerns among customers

4.3.2. Adoption of software based technologies

4.3.3. Increasing deployment of cloud services

4.3.4. Inclination towards returns on investments

4.3.5. Advancements of in memory computing

CHAPTER 5 GLOBAL DATA FABRIC MARKET – BY TYPE

5.1. Disk Based Data Fabric

5.2. In Memory Data Fabric

CHAPTER 6 GLOBAL DATA FABRIC MARKET – BY COMPONENT

6.1. Software

6.2. Services

6.2.1. Professional Services

6.2.1.1. Consulting Services

6.2.1.2. Support and Maintenance

6.2.1.3. Education and Training

6.2.2. Managed Services

CHAPTER 7 GLOBAL DATA FABRIC MARKET – BY DEPLOYMENT MODE

7.1. On Premises

7.2. Cloud

CHAPTER 8 GLOBAL DATA FABRIC MARKET – BY ORGANISATION SIZE

8.1. Small and Medium Sized Enterprises

8.2. Large Enterprises

CHAPTER 9 GLOBAL DATA FABRIC MARKET – BY BUSINESS APPLICATIONS

9.1. Fraud Detection and Security Management

9.2. Customer Experience Management

9.3. Business Process Management

9.4. Sales and Marketing Management

9.5. Governance, Risk and Compliance Management

9.6. Others

CHAPTER 10 GLOBAL DATA FABRIC MARKET – BY END USERS

10.1. Banking, Financial Services and Insurance (BFSI)

10.2. Telecommunications and IT

10.3. Retail and Ecommerce

10.4. Manufacturing

10.5. Healthcare and Lifesciences

10.6. Government

10.7. Energy and Utilities

10.8. Media and Entertainment

10.9. Others

CHAPTER 11 GLOBAL DATA FABRIC MARKET – BY GEOGRAPHY

11.1. Introduction

11.2. North America

11.2.1. U.S.

11.2.2. Canada

11.2.3. Mexico

11.2.4. Costa Rica

11.3. South America

11.3.1. Brazil

11.3.2. Argentina

11.3.3. Chile

11.3.4. Columbia

11.3.5. Others

11.4. Europe

11.4.1. U.K.

11.4.2. Germany

11.4.3. France

11.4.4. Italy

11.4.5. Spain

11.4.6. Russia

11.4.7. Netherlands

11.4.8. Switzerland

11.4.9. Poland

11.4.10. Others

11.5. Asia Pacific

11.5.1. China

11.5.2. Japan

11.5.3. India

11.5.4. South Korea

11.5.5. Australia & New Zealand

11.5.6. Malaysia

11.5.7. Singapore

11.5.8. Others

11.6. Middle East & Africa

11.6.1. UAE

11.6.2. Saudi Arabia

11.6.3. Iran

11.6.4. Iraq

11.6.5. Qatar

11.6.6. South Africa

11.6.7. Algeria

11.6.8. Morocco

11.6.9. Nigeria

11.6.10. Egypt

11.6.11. Others

CHAPTER 12 GLOBAL DATA FABRIC MARKET – COMPANY PROFILES

12.1. IBM Corporation

12.2. Oracle Corporation

12.3. Teradata Corporation

12.4. SAP SE

12.5. Denodo Technologies Inc.

12.6. Global IDS, Inc.

12.7. NetApp, Inc.

12.8. Informatica Corporation

12.9. Hewlett Packard Enterprise Company

12.10. Talend S.A.

12.11. Syncsort Incorporated

12.12. Splunk, Inc.

12.13. Software AG

12.14. VMware, Inc.

12.15. K2 View LLC

CHAPTER 13 GLOBAL DATA FABRIC MARKET – COMPETITIVE LANDSCAPE

13.1. Market Share Analysis

13.2. Strategies adopted by top companies

13.3. Mergers, Acquisitions, Collaborations & Agreements

CHAPTER 14 MARKET INSIGHTS

14.1. Industry Experts Insights

14.2. Analysts Opinions

14.3. Investment Opportunities

CHAPTER 15 APPENDIX

15.1. List of Tables

15.2. List of Figures

Competitive Analysis in marketing and strategic management is an assessment of the strengths and weaknesses of current and potential competitors.

Monitoring the external and internal factors which affect the market dynamics with the aid of PESTLE analysis.

The Regional and Global Variety is taken care of in the report.

Year on Year basis generation of revenue is studied.

Porter's Five Forces analyze the intensity of competition in an industry and its profitability level.

The overview and the sustainability of the market are analyzed through SWOT.

DROC (Drivers, Restraints, Opportunities and Challenges) is recognized in the current market scenario and see how its effect on market dynamics.

The segment-level analysis in terms of type and technology.

The value chain analysis, value that's created and captured by a company is the profit margin.

Value Created and Captured – Cost of Creating that Value = Margin

An executive summary consists of the whole report and the outcome is been given in the report to have brief knowledge about the report.

Basis on the depth of the study we approach using analytical tools

Expertise investment opportunities are given after analyzing the market to give the organization and the individual to have perfect knowledge about the market.

Data fabric is an architecture concerned with creating a data vision for the enterprise and allows the delivery effort to be quantified. This consists of combined data services by providing consistent capabilities across a choice of endpoints enabling on premise and multiple cloud environment to accelerate digital transformation. Handling control over data residency from anywhere is enrolled as preferred technology architecture in data fabric.

Global Data Fabric Market Segments Size & Growth:

Global data fabric market is accounted for $0.65 million in 2017 and estimated to grow at a CAGR of 26.8% during the forecast period of 2019-2025 to reach $4.37 billion by 2025. The major factors propelling the growth of data fabric market are massive growth in industry verticals based on structured and unstructured data, rapid advancements in data management, proper Implementation of data fabric across various end users, the high requirement for real time running analytics, occurring acquirement for accessibility and business agility and integrating business data volume. However, a breakdown in legacy systems, lack of awareness of data fabric, insufficient skilled expertise and low range of investments in emerging technologies are the factors that would restrain the growth of the market. Rising concerns among customers, adoption of software based technologies, increasing deployment of cloud service, inclination towards returns on investments and advancements of in memory computing are expected to boost demand for data fabric market.

Global Data Fabric Market Segments Share:

By the component, the services segment is playing a dominant role as they reduce the efforts, summarise large data sets, helps organisations to save money & time and enabling employees to focus more on tasks. Based on deployment mode, data fabric market is classified into the cloud, and on premises. By organisation size, data fabric market is segmented into small and medium sized enterprises, large enterprises. From the segment of type, in memory data fabrics type represents the tremendous growth over the forecast period as this provides the most prior advantage that independent usage of in memory computing components with the integration of memory. Based on applications, fraud detection and security management is anticipated to grow over thee forecast period due to increasing immediate triggering actions, enables easy decision making and making easy of machine learning. In the end user segment, BFSI is holding the major share owing to accessing a large volume of data, enhancing customer experience and analysing the decision making process.

By Geography, North America accounted for the major share in the global data fabric market as the region is having a large presence of data fabric vendors, progressive innovation and rising investments in R&D. The Asia Pacific is expected to witness tremendous growth over the forecast period based on factors includes emerging major opportunities on investments, expanding digitalisation and presence of motivated government policies.

Global Data Fabric Market Segments Trends:

In September 2018, Oracle Corporation introduced a new Oracle retail assortment to engage the customers at the pace of fast fashion with new assortment and item planning cloud service with advanced analytics.

In October 2018, IBM Corporation announced a new cloud based community platform for cyber security applications on open federated technologies to analyse security data across previously unconnected tools.

Global Data Fabric Research Report:

An executive summary condensing the whole report such that essential authority can rapidly twist up doubtlessly acquainted with brief overview and conclusion.

Regional and global diversity is analysed with the major countries and the unions. Scrutinising the revenue generation on Year-On-Year

Identifying DROC in the current market and their impact in altering the market dynamics.

Competitive landscape analysis to identify the mergers and acquisitions which will have a comparative financial analysis with major competitors.

Expertise investment opportunities by an analyst to the individual and organisation to have a better foothold in the market.

The major key data fabric market leaders are:

Teradata Corporation

Oracle Corporation

Global IDS, Inc.

IBM Corporation

SAP SE

Along with these companies, there were many other companies considered/cited in the report while analysing the global data fabric market size. These companies hold substantial share is owning to the nature of the industry whereas rest of the market shares are marginal chunks to regional and local level manufacturers. Other players have considerable presence owing to its robust brand image, geographical reach and strong customer base.

CHAPTER 1 INTRODUCTION

1.1. Market Definition

1.2. Executive Summary

1.3. The Scope of the Study

CHAPTER 2 RESEARCH METHODOLOGY

2.1. Secondary Research

2.2. Primary Research

2.3. Analytic Tools and Model

2.4. Economic Indicator

2.4.1 Base Year, Base Currency, Forecasting Period

2.5. Expert Validation

2.6. Study Timeline

CHAPTER 3 MARKET ANALYSIS

3.1. Industry Value Chain Analysis

3.2. Porter’s Five Force Analysis

3.2.1. Bargaining Power of Buyers

3.2.2. Bargaining Power of Suppliers

3.2.3. Threats of Substitutes

3.2.4. Threats of New Entrants

3.2.5. Degree of Competition

3.3. PESTLE Analysis

3.3.1. Political

3.3.2. Economical

3.3.3. Social

3.3.4. Technological

3.3.5. Legal

3.3.6. Environmental

3.4. SWOT Analysis

3.4.1. Strengths

3.4.2. Weakness

3.4.3. Opportunities

3.4.4. Threats

3.5. Y-O-Y Analysis

CHAPTER 4 MARKET DYNAMICS

4.1. Market Drivers

4.1.1. Massive growth in industry verticals based on structured and unstructured data

4.1.2. Rapid advancements in data management

4.1.3. Proper Implementation of data fabric across various end users

4.1.4. The high requirement for real time running analytics

4.1.5. Occurring acquirement for accessibility and business agility

4.1.6. Integrating business data volume

4.2. Market Restraints & Challenges

4.2.1. The breakdown in legacy systems

4.2.2. Lack of awareness of data fabric

4.2.3. Insufficient skilled expertise

4.2.4. The low range of investments in emerging technologies

4.3. Market Opportunities

4.3.1. Rising concerns among customers

4.3.2. Adoption of software based technologies

4.3.3. Increasing deployment of cloud services

4.3.4. Inclination towards returns on investments

4.3.5. Advancements of in memory computing

CHAPTER 5 GLOBAL DATA FABRIC MARKET – BY TYPE

5.1. Disk Based Data Fabric

5.2. In Memory Data Fabric

CHAPTER 6 GLOBAL DATA FABRIC MARKET – BY COMPONENT

6.1. Software

6.2. Services

6.2.1. Professional Services

6.2.1.1. Consulting Services

6.2.1.2. Support and Maintenance

6.2.1.3. Education and Training

6.2.2. Managed Services

CHAPTER 7 GLOBAL DATA FABRIC MARKET – BY DEPLOYMENT MODE

7.1. On Premises

7.2. Cloud

CHAPTER 8 GLOBAL DATA FABRIC MARKET – BY ORGANISATION SIZE

8.1. Small and Medium Sized Enterprises

8.2. Large Enterprises

CHAPTER 9 GLOBAL DATA FABRIC MARKET – BY BUSINESS APPLICATIONS

9.1. Fraud Detection and Security Management

9.2. Customer Experience Management

9.3. Business Process Management

9.4. Sales and Marketing Management

9.5. Governance, Risk and Compliance Management

9.6. Others

CHAPTER 10 GLOBAL DATA FABRIC MARKET – BY END USERS

10.1. Banking, Financial Services and Insurance (BFSI)

10.2. Telecommunications and IT

10.3. Retail and Ecommerce

10.4. Manufacturing

10.5. Healthcare and Lifesciences

10.6. Government

10.7. Energy and Utilities

10.8. Media and Entertainment

10.9. Others

CHAPTER 11 GLOBAL DATA FABRIC MARKET – BY GEOGRAPHY

11.1. Introduction

11.2. North America

11.2.1. U.S.

11.2.2. Canada

11.2.3. Mexico

11.2.4. Costa Rica

11.3. South America

11.3.1. Brazil

11.3.2. Argentina

11.3.3. Chile

11.3.4. Columbia

11.3.5. Others

11.4. Europe

11.4.1. U.K.

11.4.2. Germany

11.4.3. France

11.4.4. Italy

11.4.5. Spain

11.4.6. Russia

11.4.7. Netherlands

11.4.8. Switzerland

11.4.9. Poland

11.4.10. Others

11.5. Asia Pacific

11.5.1. China

11.5.2. Japan

11.5.3. India

11.5.4. South Korea

11.5.5. Australia & New Zealand

11.5.6. Malaysia

11.5.7. Singapore

11.5.8. Others

11.6. Middle East & Africa

11.6.1. UAE

11.6.2. Saudi Arabia

11.6.3. Iran

11.6.4. Iraq

11.6.5. Qatar

11.6.6. South Africa

11.6.7. Algeria

11.6.8. Morocco

11.6.9. Nigeria

11.6.10. Egypt

11.6.11. Others

CHAPTER 12 GLOBAL DATA FABRIC MARKET – COMPANY PROFILES

12.1. IBM Corporation

12.2. Oracle Corporation

12.3. Teradata Corporation

12.4. SAP SE

12.5. Denodo Technologies Inc.

12.6. Global IDS, Inc.

12.7. NetApp, Inc.

12.8. Informatica Corporation

12.9. Hewlett Packard Enterprise Company

12.10. Talend S.A.

12.11. Syncsort Incorporated

12.12. Splunk, Inc.

12.13. Software AG

12.14. VMware, Inc.

12.15. K2 View LLC

CHAPTER 13 GLOBAL DATA FABRIC MARKET – COMPETITIVE LANDSCAPE

13.1. Market Share Analysis

13.2. Strategies adopted by top companies

13.3. Mergers, Acquisitions, Collaborations & Agreements

CHAPTER 14 MARKET INSIGHTS

14.1. Industry Experts Insights

14.2. Analysts Opinions

14.3. Investment Opportunities

CHAPTER 15 APPENDIX

15.1. List of Tables

15.2. List of Figures

Competitive Analysis in marketing and strategic management is an assessment of the strengths and weaknesses of current and potential competitors.

Monitoring the external and internal factors which affect the market dynamics with the aid of PESTLE analysis.

The Regional and Global Variety is taken care of in the report.

Year on Year basis generation of revenue is studied.

Porter's Five Forces analyze the intensity of competition in an industry and its profitability level.

The overview and the sustainability of the market are analyzed through SWOT.

DROC (Drivers, Restraints, Opportunities and Challenges) is recognized in the current market scenario and see how its effect on market dynamics.

The segment-level analysis in terms of type and technology.

The value chain analysis, value that's created and captured by a company is the profit margin.

Value Created and Captured – Cost of Creating that Value = Margin

An executive summary consists of the whole report and the outcome is been given in the report to have brief knowledge about the report.

Basis on the depth of the study we approach using analytical tools

Expertise investment opportunities are given after analyzing the market to give the organization and the individual to have perfect knowledge about the market.

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